Triple
T19866646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkic dynasties |
E477407
|
entity |
| Predicate | hasPoliticalForm |
P1815
|
FINISHED |
| Object | beylik |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: beylik | Statement: [Turkic dynasties, hasPoliticalForm, beylik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: beylik Context triple: [Turkic dynasties, hasPoliticalForm, beylik]
-
A.
beylerbey
A beylerbey was a high-ranking provincial governor in the Ottoman Empire who commanded military forces and oversaw administration within a large territorial unit called a beylerbeylik.
-
B.
Beyeler
Beyeler is a Swiss surname most prominently associated with Ernst Beyeler, a renowned art dealer and founder of the Fondation Beyeler museum.
-
C.
Beylikova
Beylikova is a small town and district in central Turkey known for its agricultural activities and location within Eskişehir Province.
-
D.
Beylerbey
Beylerbey was a high-ranking provincial governor and military commander in the Ottoman Empire, overseeing large administrative regions and their armed forces.
-
E.
Beğ
chosen
Beğ is a historical Turkic title of nobility and leadership, roughly equivalent to "chieftain" or "lord," used across various Turkic and neighboring cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.